1) Represent differences in quality, character, or kind but not in amount. Examples, sex, birthplace or geographic location, color of eyes a) Qualitative Variable b) Demographic Profile c) Quantitative Variable d) Dependent Variable 2) Numerical in nature and can be ordered and rank. examples are age, height, and weight. a) Qualitative Variable b) Demographic Profile c) Quantitative Variable d) Dependent Variable 3) Variable whose values can be counted using integral values. a) Nominal Data b) Continuous Data c) Discrete Data d) Ordinal Data 4) the variable whose value is being predicted. a) Independent Variable b) Dependent Variable c) Extraneous Variable d) Population 5) A variable that is considered as a predictor a) Independent Variable b) Dependent Variable c) Extraneous Variable d) Population 6) Refers to the information which are gathered directly from the original source or which are based on direct or first hand experience. a) Discrete Data b) Continuous Data c) Primary Data d) Secondary Data 7) refer to information which are taken form published or unpublished data which are previously gathered by other individuals. a) Discrete Data b) Continuous Data c) Primary Data d) Secondary Data 8) Connote ranking or inequalities a) Nominal Data b) Ordinal Data c) Interval Data d) Ratio 9) Fahrenheit temperature scale is an example of what type of data? a) Nominal Data b) Ordinal Data c) Interval Data d) Ratio 10) Ordering the observations form smallest to the largest or vice versa. a) array b) frequency c) data d) Data Managemet

PRIOR KNOWLEDGE (stat)

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